-------------------------------------------------------------------------------------------------------------------------------------------
       log:  C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\table3.log
  log type:  text
 opened on:   3 May 2006, 22:51:12

. *****************************
. **     HAZARD RATIOS       **
. *****************************
. 
. *** 6 - Coherent Authoritarian - Education Exchange - Hazard Ratios ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -333.01676
Iteration 2:   log pseudolikelihood = -331.74005
Iteration 3:   log pseudolikelihood = -331.73252
Iteration 4:   log pseudolikelihood = -331.73252
Refining estimates:
Iteration 0:   log pseudolikelihood = -331.73252

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     38.70
Log pseudolikelihood =   -331.73252                Prob > chi2     =    0.0002

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   2.358044    .579988     3.49   0.000     1.456093    3.818693
USmilact_y~o |   1.048543    .882642     0.06   0.955     .2014014    5.458964
soviet_for~t |   .8479548   .2313753    -0.60   0.546     .4967199    1.447551
USeconaid_~m |   293681.7    2768342     1.34   0.182     .0027808    3.10e+13
        newc |   .1068725   .0674141    -3.54   0.000     .0310411    .3679555
     britcol |   6.957708   4.355529     3.10   0.002     2.039922    23.73115
      open_i |   .9928848    .004406    -1.61   0.108     .9842867    1.001558
GDP_rescaled |   .9811771   .0441796    -0.42   0.673     .8982976    1.071703
   Ethnic_gp |   .7151419   .3011236    -0.80   0.426     .3133129    1.632324
muslim_maj~o |   .7546263   .2360592    -0.90   0.368     .4087544    1.393161
christian_~o |   1.227451   .3232898     0.78   0.437     .7325075     2.05682
   newcxtime |   1.092396   .0421138     2.29   0.022     1.012896    1.178136
britcolxtime |   .8931673   .0341717    -2.95   0.003     .8286415    .9627177
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |      0.06028         0.37        1         0.5414
      USmilact_y~o|     -0.03531         0.20        1         0.6516
      soviet_for~t|      0.07276         0.69        1         0.4076
      USeconaid_~m|      0.07028         0.83        1         0.3628
      newc        |     -0.14185         2.66        1         0.1031
      britcol     |      0.12379         1.69        1         0.1941
      open_i      |      0.06415         0.96        1         0.3278
      GDP_rescaled|     -0.02007         0.06        1         0.7993
      Ethnic_gp   |     -0.07597         0.70        1         0.4015
      muslim_maj~o|     -0.13623         2.37        1         0.1235
      christian_~o|     -0.04203         0.19        1         0.6662
      newcxtime   |      0.15230         2.78        1         0.0953
      britcolxtime|     -0.14194         2.21        1         0.1369
      ------------+---------------------------------------------------
      global test |                      9.56       13         0.7298
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** 7 - Coherent Authoritarian - Ally with US - Hazard Ratios ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> Ally
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -337.92533
Iteration 2:   log pseudolikelihood = -331.08029
Iteration 3:   log pseudolikelihood =  -330.8556
Iteration 4:   log pseudolikelihood = -330.85546
Refining estimates:
Iteration 0:   log pseudolikelihood = -330.85546

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     42.18
Log pseudolikelihood =   -330.85546                Prob > chi2     =    0.0001

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        Ally |   4.550695   1.898677     3.63   0.000     2.008781    10.30915
USmilact_y~o |   .7458264   .5181986    -0.42   0.673     .1910841    2.911058
soviet_for~t |   .9665425     .28215    -0.12   0.907     .5454323    1.712778
USeconaid_~m |    8654689   8.90e+07     1.55   0.120      .015352    4.88e+15
        newc |   .1842907   .1065579    -2.92   0.003     .0593382    .5723646
     britcol |   8.415099   5.274319     3.40   0.001     2.463502    28.74521
      open_i |    .993125   .0043426    -1.58   0.115     .9846501    1.001673
GDP_rescaled |   .9880085    .044865    -0.27   0.790     .9038743    1.079974
   Ethnic_gp |   .6492516   .2762748    -1.02   0.310       .28197    1.494938
muslim_maj~o |   .8900624   .2827705    -0.37   0.714     .4775248    1.658995
christian_~o |   .9324723   .2886379    -0.23   0.821     .5083403    1.710477
   newcxtime |   1.091631   .0398792     2.40   0.016     1.016202    1.172659
britcolxtime |   .8893834   .0335903    -3.10   0.002     .8259253    .9577172
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      Ally        |      0.01258         0.03        1         0.8738
      USmilact_y~o|     -0.03398         0.16        1         0.6934
      soviet_for~t|      0.06803         0.58        1         0.4445
      USeconaid_~m|      0.10744         1.94        1         0.1641
      newc        |     -0.06968         0.53        1         0.4676
      britcol     |      0.08999         0.84        1         0.3598
      open_i      |      0.06074         0.85        1         0.3573
      GDP_rescaled|     -0.00534         0.00        1         0.9451
      Ethnic_gp   |     -0.06137         0.48        1         0.4878
      muslim_maj~o|     -0.08515         1.03        1         0.3106
      christian_~o|      0.03767         0.19        1         0.6594
      newcxtime   |      0.07283         0.55        1         0.4568
      britcolxtime|     -0.13555         1.84        1         0.1751
      ------------+---------------------------------------------------
      global test |                      8.06       13         0.8396
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** 8 - Coherent Authoritarian - US Military Troop Presence - Hazard Ratios ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> USMil_normforeignMil
> USmilact_yesno
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -348.44049
Iteration 2:   log pseudolikelihood = -335.57235
Iteration 3:   log pseudolikelihood = -334.93525
Iteration 4:   log pseudolikelihood =  -334.7434
Iteration 5:   log pseudolikelihood = -334.74269
Refining estimates:
Iteration 0:   log pseudolikelihood = -334.74269

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     66.30
Log pseudolikelihood =   -334.74269                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USMil_norm~l |   1.934535   .3604353     3.54   0.000     1.342716    2.787208
USmilact_y~o |   .2620501   .2930665    -1.20   0.231     .0292708    2.346035
soviet_for~t |   .7566252   .2105229    -1.00   0.316     .4385741    1.305325
USeconaid_~m |   1.01e+07   9.93e+07     1.64   0.102     .0413758    2.45e+15
        newc |   .1058894   .0648328    -3.67   0.000     .0318925    .3515743
     britcol |   6.220808   3.756803     3.03   0.002     1.904576    20.31867
      open_i |   .9913314   .0042252    -2.04   0.041     .9830847    .9996472
GDP_rescaled |   .9913791   .0423334    -0.20   0.839     .9117844    1.077922
   Ethnic_gp |   .7162077   .3242879    -0.74   0.461     .2948682    1.739603
muslim_maj~o |   .9242069   .2979196    -0.24   0.807      .491341    1.738423
christian_~o |   1.290117   .3663834     0.90   0.370     .7394255     2.25094
   newcxtime |   1.109866   .0432981     2.67   0.008     1.028167    1.198058
britcolxtime |   .9038055   .0339178    -2.70   0.007     .8397137    .9727891
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USMil_norm~l|      0.05217         0.19        1         0.6670
      USmilact_y~o|     -0.02286         0.07        1         0.7884
      soviet_for~t|      0.08386         0.94        1         0.3330
      USeconaid_~m|      0.10073         1.55        1         0.2136
      newc        |     -0.09489         1.23        1         0.2665
      britcol     |      0.09066         0.83        1         0.3614
      open_i      |      0.08943         1.73        1         0.1888
      GDP_rescaled|     -0.01229         0.02        1         0.8883
      Ethnic_gp   |     -0.06054         0.54        1         0.4605
      muslim_maj~o|     -0.08328         0.98        1         0.3224
      christian_~o|     -0.01053         0.01        1         0.9080
      newcxtime   |      0.12020         1.74        1         0.1872
      britcolxtime|     -0.12817         1.75        1         0.1861
      ------------+---------------------------------------------------
      global test |                      8.66       13         0.7981
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** 11 - MidGround to Democracy - Education Exchange - Hazard Ratios ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\mid-to-dem-stset.dta", clear

. *use "mid-to-dem-stset.dta"
. gen britcolxtime = britcol*_t

. gen IMETyesnoxtime=IMETyesno*_t

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> USmilact_yesno
> soviet_foreign_asst
> USeconaid_norm 
> newc
> britcol
> open_i 
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno 
> IMETyesnoxtime
> britcolxtime,
> bases(mgtodem_surv) basehc(mgtodem_hazard) basechazard(mgtodem_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  d1 == 1
   analysis time _t:  timem1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -163.55618
Iteration 1:   log pseudolikelihood = -145.82449
Iteration 2:   log pseudolikelihood = -144.21358
Iteration 3:   log pseudolikelihood = -143.66385
Iteration 4:   log pseudolikelihood = -143.31118
Iteration 5:   log pseudolikelihood = -143.10974
Iteration 6:   log pseudolikelihood = -143.05765
Iteration 7:   log pseudolikelihood = -143.05448
Iteration 8:   log pseudolikelihood = -143.05447
Refining estimates:
Iteration 0:   log pseudolikelihood = -143.05447

Cox regression -- Efron method for ties

No. of subjects      =          135                Number of obs   =      1180
No. of failures      =           41
Time at risk         =         1180
                                                   Wald chi2(13)   =     26.08
Log pseudolikelihood =   -143.05447                Prob > chi2     =    0.0166

                                (Std. Err. adjusted for 105 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   7.462705    5.86027     2.56   0.010     1.601289    34.77947
USmilact_y~o |   1.442316   1.800055     0.29   0.769     .1249495    16.64893
soviet_for~t |   1.731839   .7639228     1.25   0.213     .7295216    4.111277
USeconaid_~m |   1.464923   12.53353     0.04   0.964     7.64e-08    2.81e+07
        newc |    .827263   .3417154    -0.46   0.646     .3681628    1.858862
     britcol |   4.997068   5.184213     1.55   0.121     .6540866    38.17642
      open_i |   .9952615   .0048375    -0.98   0.328     .9858252    1.004788
GDP_rescaled |   1.112934   .0587476     2.03   0.043     1.003547    1.234244
   Ethnic_gp |   3.597977   2.741877     1.68   0.093     .8079624    16.02233
muslim_maj~o |   .9041387    .480021    -0.19   0.849     .3193884    2.559475
christian_~o |   1.342577   .5025416     0.79   0.431     .6446515    2.796105
IMETyesnox~e |   .8650576   .0591119    -2.12   0.034     .7566236    .9890315
britcolxtime |   .5273663   .1877747    -1.80   0.072     .2624415    1.059723
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |     -0.03444         0.09        1         0.7678
      USmilact_y~o|      0.06029         0.31        1         0.5770
      soviet_for~t|      0.01082         0.01        1         0.9336
      USeconaid_~m|      0.10522         0.53        1         0.4652
      newc        |      0.20526         3.02        1         0.0821
      britcol     |     -0.00095         0.00        1         0.9946
      open_i      |      0.02549         0.04        1         0.8445
      GDP_rescaled|     -0.15869         0.78        1         0.3771
      Ethnic_gp   |     -0.10197         0.92        1         0.3373
      muslim_maj~o|     -0.21747         3.20        1         0.0736
      christian_~o|     -0.12169         0.41        1         0.5231
      IMETyesnox~e|      0.03241         0.07        1         0.7944
      britcolxtime|     -0.04311         0.10        1         0.7554
      ------------+---------------------------------------------------
      global test |                      9.54       13         0.7309
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *** 18 - MidGround to Authoritarian - US Military Troop Presence - Hazard Ratios ***
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\mid-to-aut-stset.dta", clear

. *use "mid-to-aut-stset.dta"
. #delimit ;
delimiter now ;
. stcox 
> USMil_normforeignMil 
> USmilact_yesno
> soviet_foreign_asst 
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno,
> bases(mgtoaut_surv) basehc(mgtoaut_hazard) basechazard(mgtoaut_cumhaz) efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  d2 == 1
   analysis time _t:  timem1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -124.52679
Iteration 1:   log pseudolikelihood = -117.14075
Iteration 2:   log pseudolikelihood = -113.02896
Iteration 3:   log pseudolikelihood = -112.87291
Iteration 4:   log pseudolikelihood = -112.87105
Iteration 5:   log pseudolikelihood = -112.87105
Refining estimates:
Iteration 0:   log pseudolikelihood = -112.87105

Cox regression -- Efron method for ties

No. of subjects      =          135                Number of obs   =      1180
No. of failures      =           28
Time at risk         =         1180
                                                   Wald chi2(11)   =     45.81
Log pseudolikelihood =   -112.87105                Prob > chi2     =    0.0000

                                (Std. Err. adjusted for 105 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t | Haz. Ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USMil_norm~l |   6.234411   2.720395     4.19   0.000     2.650771    14.66286
USmilact_y~o |   .7446175    .776845    -0.28   0.777     .0963588    5.754072
soviet_for~t |   1.922989   .8299264     1.52   0.130     .8253039    4.480635
USeconaid_~m |   1.92e-12   3.81e-11    -1.36   0.175     2.17e-29    168995.6
        newc |   1.136923   .6560981     0.22   0.824     .3668747    3.523257
     britcol |   1.956625   .7554042     1.74   0.082     .9180788    4.169993
      open_i |   .9930658   .0064782    -1.07   0.286     .9804496    1.005844
GDP_rescaled |   .6997732   .1259059    -1.98   0.047     .4918196    .9956549
   Ethnic_gp |   4.030605   3.122619     1.80   0.072     .8829202    18.40005
muslim_maj~o |   .6815886   .3262859    -0.80   0.423     .2667106    1.741824
christian_~o |   1.880152   .9023886     1.32   0.188     .7339295    4.816499
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USMil_norm~l|      0.24206         0.46        1         0.4972
      USmilact_y~o|      0.06083         0.03        1         0.8578
      soviet_for~t|      0.03870         0.05        1         0.8298
      USeconaid_~m|      0.07176         0.18        1         0.6706
      newc        |     -0.10655         0.65        1         0.4211
      britcol     |     -0.02128         0.01        1         0.9085
      open_i      |      0.21717         2.41        1         0.1204
      GDP_rescaled|     -0.24979         3.02        1         0.0821
      Ethnic_gp   |     -0.16576         1.10        1         0.2932
      muslim_maj~o|      0.07105         0.13        1         0.7160
      christian_~o|     -0.10528         0.42        1         0.5162
      ------------+---------------------------------------------------
      global test |                      7.01       11         0.7984
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. log close
       log:  C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\table3.log
  log type:  text
 closed on:   3 May 2006, 22:51:18
-------------------------------------------------------------------------------------------------------------------------------------------
